Hafan Chevron right Pobl Chevron right Dr Maryam Afzali
Dr Maryam Afzali
Timau a rolau for Maryam Afzali
Cyhoeddiad
2024
Afzali, M. et al. 2024. In vivo diffusion MRI of the human heart using a 300 mT/m gradient system . Magnetic Resonance in Medicine 92(3), pp. 1022-1034. (10.1002/mrm.30118 )
Engel, M., Mueller, L., Döring, A., Afzali, M. and Jones, D. K. 2024. Maximising SNR per unit time in diffusion MRI with multiband T-Hex spirals . Magnetic Resonance in Medicine 91(4), pp. 1323-1336. (10.1002/mrm.29953 )
2023
2022
Afzali, M. et al. 2022. MR Fingerprinting with b-tensor encoding for simultaneous quantification of relaxation and diffusion in a single scan . Magnetic Resonance in Medicine 88(5), pp. 2043-2057. (10.1002/mrm.29352 )
Bogusz, F., Pieciak, T., Afzali, M. and Pizzolato, M. 2022. Diffusion-relaxation scattered MR signal representation in a multi-parametric sequence . Magnetic Resonance Imaging 91, pp. 52-61.
Afzali, M., Pieciak, T., Jones, D. K., Schneider, J. E. and Ozarslan, E. 2022. Cumulant expansion with localization: a new representation of the diffusion MRI signal . Frontiers in Neuroimaging 1, article number: 958680. (10.3389/fnimg.2022.958680 )
2021
De Luca, A. et al. 2021. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge . NeuroImage 240, article number: 118367. (10.1016/j.neuroimage.2021.118367 )
Afzali, M., Nilsson, M., Palombo, M. and Jones, D. K. 2021. SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI . NeuroImage 237, article number: 118183. (10.1016/j.neuroimage.2021.118183 )
Hamidinekoo, A., Pieciak, T., Afzali, M., Akanyeti, O. and Yuan, Y. 2021. Glioma classification using multimodal radiology and histology data . Presented at: 6th International Brain Lesion Workshop (BrainLes 2020), Lima, Peru, 04 October 2020Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries , Vol. 12659. Lecture Notes in Computer Science Springer Verlag pp. 508-518., (10.1007/978-3-030-72087-2_45 )
2020
Pizzolato, M. et al. 2020. Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge . Presented at: MICCAI Workshop, Shenzhen, China, Oct 2019 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI . Mathematics and Visualization Springer pp. 195-208., (10.1007/978-3-030-52893-5_17 )
Cheng, H., Newman, S., Afzali Deligani, M., Fadnavis, S. S. and Garyfallidis, E. 2020. Segmentation of the brain using direction-averaged signal of DWI images . Magnetic Resonance Imaging 69, pp. 1-7. (10.1016/j.mri.2020.02.010 )
Aja-Fernández, S., de Luis-García, R., Afzali, M., Molendowska, M., Pieciak, T. and Tristán-Vega, A. 2020. Micro-structure diffusion scalar measures from reduced MRI acquisitions . PLoS ONE 15(3), article number: e0229526. (10.1371/journal.pone.0229526 )
2019
Afzali Deligani, M., Tax, C. M., Chatziantoniou, C. and Jones, D. K. 2019. Comparison of different tensor encoding combinations in microstructural parameter estimation . Presented at: IEEE International Symposium on Biomedical Imaging, Venice, Italy, 8-11 Apr 20192019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) . IEEE pp. 1471-1474., (10.1109/ISBI.2019.8759100 )
Articles
Afzali, M. et al. 2024. In vivo diffusion MRI of the human heart using a 300 mT/m gradient system . Magnetic Resonance in Medicine 92(3), pp. 1022-1034. (10.1002/mrm.30118 )
Engel, M., Mueller, L., Döring, A., Afzali, M. and Jones, D. K. 2024. Maximising SNR per unit time in diffusion MRI with multiband T-Hex spirals . Magnetic Resonance in Medicine 91(4), pp. 1323-1336. (10.1002/mrm.29953 )
Davies Jenkins, C. W. et al. 2023. Practical considerations of diffusion-weighted MRS with ultra-strong diffusion gradients . Frontiers in Neuroscience 17, article number: 1258408. (10.3389/fnins.2023.1258408 )
Afzali, M. et al. 2022. MR Fingerprinting with b-tensor encoding for simultaneous quantification of relaxation and diffusion in a single scan . Magnetic Resonance in Medicine 88(5), pp. 2043-2057. (10.1002/mrm.29352 )
Bogusz, F., Pieciak, T., Afzali, M. and Pizzolato, M. 2022. Diffusion-relaxation scattered MR signal representation in a multi-parametric sequence . Magnetic Resonance Imaging 91, pp. 52-61.
Afzali, M., Pieciak, T., Jones, D. K., Schneider, J. E. and Ozarslan, E. 2022. Cumulant expansion with localization: a new representation of the diffusion MRI signal . Frontiers in Neuroimaging 1, article number: 958680. (10.3389/fnimg.2022.958680 )
De Luca, A. et al. 2021. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge . NeuroImage 240, article number: 118367. (10.1016/j.neuroimage.2021.118367 )
Afzali, M., Nilsson, M., Palombo, M. and Jones, D. K. 2021. SPHERIOUSLY? The challenges of estimating sphere radius non-invasively in the human brain from diffusion MRI . NeuroImage 237, article number: 118183. (10.1016/j.neuroimage.2021.118183 )
Cheng, H., Newman, S., Afzali Deligani, M., Fadnavis, S. S. and Garyfallidis, E. 2020. Segmentation of the brain using direction-averaged signal of DWI images . Magnetic Resonance Imaging 69, pp. 1-7. (10.1016/j.mri.2020.02.010 )
Aja-Fernández, S., de Luis-García, R., Afzali, M., Molendowska, M., Pieciak, T. and Tristán-Vega, A. 2020. Micro-structure diffusion scalar measures from reduced MRI acquisitions . PLoS ONE 15(3), article number: e0229526. (10.1371/journal.pone.0229526 )
Conferences
Hamidinekoo, A., Pieciak, T., Afzali, M., Akanyeti, O. and Yuan, Y. 2021. Glioma classification using multimodal radiology and histology data . Presented at: 6th International Brain Lesion Workshop (BrainLes 2020), Lima, Peru, 04 October 2020Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries , Vol. 12659. Lecture Notes in Computer Science Springer Verlag pp. 508-518., (10.1007/978-3-030-72087-2_45 )
Pizzolato, M. et al. 2020. Acquiring and predicting multidimensional diffusion (MUDI) data: an open challenge . Presented at: MICCAI Workshop, Shenzhen, China, Oct 2019 Presented at Bonet-Carne, E. et al. eds.Computational Diffusion MRI . Mathematics and Visualization Springer pp. 195-208., (10.1007/978-3-030-52893-5_17 )
Afzali Deligani, M., Tax, C. M., Chatziantoniou, C. and Jones, D. K. 2019. Comparison of different tensor encoding combinations in microstructural parameter estimation . Presented at: IEEE International Symposium on Biomedical Imaging, Venice, Italy, 8-11 Apr 20192019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) . IEEE pp. 1471-1474., (10.1109/ISBI.2019.8759100 )
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